Unknown,Transcriptomics,Genomics,Proteomics

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Budding yeast respiratory oscillations in a transient state


ABSTRACT: RNAseq analysis of budding yeast respiratory oscillations was performed at high temporal resolution (4 min, 24 samples), covering 2.5 cycles of the short period oscillation of the IFO 0233 strain of budding yeast. This and related systems were previously analyzed by microarrays and RNAseq, but the expression of noncoding transcripts has not been analyzed. The oscillations were recorded by online measurements and the system underwent a multi-generational transient, where periods first gradually decreased (from 0.7 h to 0.6 h), and then a bifurcation of system dynamics occurred. After this bifurcation periods were longer but the oscillation was unstable. The RNAseq samples were taken in the 2.5 cycles before this bifurcation occurred, i.e., the data provides a snapshot of a transient state of the respiratory oscillations.

ORGANISM(S): Saccharomyces cerevisiae

SUBMITTER: Rainer Machne 

PROVIDER: E-MTAB-11901 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Similarity-Based Segmentation of Multi-Dimensional Signals.

Machné Rainer R   Murray Douglas B DB   Stadler Peter F PF  

Scientific reports 20170927 1


The segmentation of time series and genomic data is a common problem in computational biology. With increasingly complex measurement procedures individual data points are often not just numbers or simple vectors in which all components are of the same kind. Analysis methods that capitalize on slopes in a single real-valued data track or that make explicit use of the vectorial nature of the data are not applicable in such scenaria. We develop here a framework for segmentation in arbitrary data do  ...[more]

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